Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading
Diabetic macular degeneration (DM) is often characterized by the early accumulation of lipid deposits on the retina, referred to as hard exudates (HEs), which originate from damaged retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM pa...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10820327/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841536212198752256 |
|---|---|
| author | Rajesh I. S. Bharati M. Reshmi Bharathi Malakreddy A Shavantrevva Bilakeri |
| author_facet | Rajesh I. S. Bharati M. Reshmi Bharathi Malakreddy A Shavantrevva Bilakeri |
| author_sort | Rajesh I. S. |
| collection | DOAJ |
| description | Diabetic macular degeneration (DM) is often characterized by the early accumulation of lipid deposits on the retina, referred to as hard exudates (HEs), which originate from damaged retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM patients. This study introduces a novel approach leveraging mathematical morphology for the automated detection of HEs and grading of diabetic maculopathy using color fundus images. The identification and grading of diabetic maculopathy are based on two primary factors: precise delineation of the macular region, including the fovea and its center, using the optic disc’s location and diameter, and accurate detection of hard exudates. The severity of diabetic maculopathy is determined by the presence of HEs within the macula. When tested on the publicly available MESSIDOR database, the proposed method demonstrated an impressive 92% accuracy in detecting diabetic maculopathy and identifying hard exudates within the macular region. |
| format | Article |
| id | doaj-art-e14d0c86323d4720a37a083ed178155a |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e14d0c86323d4720a37a083ed178155a2025-01-15T00:03:11ZengIEEEIEEE Access2169-35362025-01-01136618663110.1109/ACCESS.2025.352549910820327Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy GradingRajesh I. S.0Bharati M. Reshmi1Bharathi Malakreddy A2Shavantrevva Bilakeri3https://orcid.org/0000-0002-5347-1485Department of AI&ML, BMS Institute of Technology and Management, Bengaluru, Karnataka, IndiaDepartment of AI&ML, Basaveshwar Engineering College, Bagalkote, Karnataka, IndiaDepartment of AI&ML, BMS Institute of Technology and Management, Bengaluru, Karnataka, IndiaDepartment of Data Science and Computer Applications, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, IndiaDiabetic macular degeneration (DM) is often characterized by the early accumulation of lipid deposits on the retina, referred to as hard exudates (HEs), which originate from damaged retinal blood vessels. Timely detection of HEs is crucial to prevent vision loss and ensure prompt treatment for DM patients. This study introduces a novel approach leveraging mathematical morphology for the automated detection of HEs and grading of diabetic maculopathy using color fundus images. The identification and grading of diabetic maculopathy are based on two primary factors: precise delineation of the macular region, including the fovea and its center, using the optic disc’s location and diameter, and accurate detection of hard exudates. The severity of diabetic maculopathy is determined by the presence of HEs within the macula. When tested on the publicly available MESSIDOR database, the proposed method demonstrated an impressive 92% accuracy in detecting diabetic maculopathy and identifying hard exudates within the macular region.https://ieeexplore.ieee.org/document/10820327/Diabetic macular edemaretinal imagecolor fundus imageoptical coherence tomographyangiography |
| spellingShingle | Rajesh I. S. Bharati M. Reshmi Bharathi Malakreddy A Shavantrevva Bilakeri Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading IEEE Access Diabetic macular edema retinal image color fundus image optical coherence tomography angiography |
| title | Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading |
| title_full | Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading |
| title_fullStr | Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading |
| title_full_unstemmed | Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading |
| title_short | Automatic Detection of Hard Exudate in Color Retinal Fundus Image and Diabetic Maculopathy Grading |
| title_sort | automatic detection of hard exudate in color retinal fundus image and diabetic maculopathy grading |
| topic | Diabetic macular edema retinal image color fundus image optical coherence tomography angiography |
| url | https://ieeexplore.ieee.org/document/10820327/ |
| work_keys_str_mv | AT rajeshis automaticdetectionofhardexudateincolorretinalfundusimageanddiabeticmaculopathygrading AT bharatimreshmi automaticdetectionofhardexudateincolorretinalfundusimageanddiabeticmaculopathygrading AT bharathimalakreddya automaticdetectionofhardexudateincolorretinalfundusimageanddiabeticmaculopathygrading AT shavantrevvabilakeri automaticdetectionofhardexudateincolorretinalfundusimageanddiabeticmaculopathygrading |